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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer – Visionary Role (2026 & Beyond)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. At Apex Horizon Systems, we aren't just building software; we are architecting the future of intelligence. We are seeking a visionary Senior AI/ML Engineer to lead the development of next-generation Generative AI and Agentic Workflows. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and scalable AI infrastructure, this is your opportunity to lead from the front.

Why Join Us?

  • Work with state-of-the-art hardware and open-source frameworks.
  • Shape the ethical guidelines and architecture of future AI agents.
  • Competitive equity package and a culture that rewards innovation over convention.

Ready to build the tools that will power the world in 2026? Apply today.

Responsibilities

  • Design and deploy scalable AI architectures for Generative AI applications, focusing on performance and cost-efficiency.
  • Lead the implementation of Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and context awareness.
  • Collaborate with cross-functional teams to integrate AI models into consumer-facing products and backend systems.
  • Optimize inference latency and resource utilization for large-scale LLM deployments on GPU clusters.
  • Establish best practices for MLOps, model versioning, and A/B testing of AI features.
  • Advocate for responsible AI, ensuring models are fair, transparent, and safe.

Qualifications

  • 5+ years of experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Natural Language Processing (NLP) and LLMs (e.g., GPT-4, Llama 3).
  • Experience with vector databases (Pinecone, Milvus) and embedding strategies.
  • Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Strong mathematical background in linear algebra, calculus, and statistics.
  • Excellent communication skills to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM RAG MLOps AWS GCP Docker Kubernetes Natural Language Processing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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